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Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation

Joint modeling of a number of phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication has not been sought. Modern omics technologies allow characterization of functional phenomena using a large number of related phenotype measures, w...

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Autores principales: Shen, Xia, Klarić, Lucija, Sharapov, Sodbo, Mangino, Massimo, Ning, Zheng, Wu, Di, Trbojević-Akmačić, Irena, Pučić-Baković, Maja, Rudan, Igor, Polašek, Ozren, Hayward, Caroline, Spector, Timothy D., Wilson, James F., Lauc, Gordan, Aulchenko, Yurii S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587582/
https://www.ncbi.nlm.nih.gov/pubmed/28878392
http://dx.doi.org/10.1038/s41467-017-00453-3
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author Shen, Xia
Klarić, Lucija
Sharapov, Sodbo
Mangino, Massimo
Ning, Zheng
Wu, Di
Trbojević-Akmačić, Irena
Pučić-Baković, Maja
Rudan, Igor
Polašek, Ozren
Hayward, Caroline
Spector, Timothy D.
Wilson, James F.
Lauc, Gordan
Aulchenko, Yurii S.
author_facet Shen, Xia
Klarić, Lucija
Sharapov, Sodbo
Mangino, Massimo
Ning, Zheng
Wu, Di
Trbojević-Akmačić, Irena
Pučić-Baković, Maja
Rudan, Igor
Polašek, Ozren
Hayward, Caroline
Spector, Timothy D.
Wilson, James F.
Lauc, Gordan
Aulchenko, Yurii S.
author_sort Shen, Xia
collection PubMed
description Joint modeling of a number of phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication has not been sought. Modern omics technologies allow characterization of functional phenomena using a large number of related phenotype measures, which can benefit from such joint analysis. Here, we report a multivariate genome-wide association studies of 23 immunoglobulin G (IgG) N-glycosylation phenotypes. In the discovery cohort, our multi-phenotype method uncovers ten genome-wide significant loci, of which five are novel (IGH, ELL2, HLA-B-C, AZI1, FUT6-FUT3). We convincingly replicate all novel loci via multivariate tests. We show that IgG N-glycosylation loci are strongly enriched for genes expressed in the immune system, in particular antibody-producing cells and B lymphocytes. We empirically demonstrate the efficacy of multivariate methods to discover novel, reproducible pleiotropic effects.
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spelling pubmed-55875822017-09-08 Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation Shen, Xia Klarić, Lucija Sharapov, Sodbo Mangino, Massimo Ning, Zheng Wu, Di Trbojević-Akmačić, Irena Pučić-Baković, Maja Rudan, Igor Polašek, Ozren Hayward, Caroline Spector, Timothy D. Wilson, James F. Lauc, Gordan Aulchenko, Yurii S. Nat Commun Article Joint modeling of a number of phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication has not been sought. Modern omics technologies allow characterization of functional phenomena using a large number of related phenotype measures, which can benefit from such joint analysis. Here, we report a multivariate genome-wide association studies of 23 immunoglobulin G (IgG) N-glycosylation phenotypes. In the discovery cohort, our multi-phenotype method uncovers ten genome-wide significant loci, of which five are novel (IGH, ELL2, HLA-B-C, AZI1, FUT6-FUT3). We convincingly replicate all novel loci via multivariate tests. We show that IgG N-glycosylation loci are strongly enriched for genes expressed in the immune system, in particular antibody-producing cells and B lymphocytes. We empirically demonstrate the efficacy of multivariate methods to discover novel, reproducible pleiotropic effects. Nature Publishing Group UK 2017-09-06 /pmc/articles/PMC5587582/ /pubmed/28878392 http://dx.doi.org/10.1038/s41467-017-00453-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shen, Xia
Klarić, Lucija
Sharapov, Sodbo
Mangino, Massimo
Ning, Zheng
Wu, Di
Trbojević-Akmačić, Irena
Pučić-Baković, Maja
Rudan, Igor
Polašek, Ozren
Hayward, Caroline
Spector, Timothy D.
Wilson, James F.
Lauc, Gordan
Aulchenko, Yurii S.
Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title_full Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title_fullStr Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title_full_unstemmed Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title_short Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation
title_sort multivariate discovery and replication of five novel loci associated with immunoglobulin g n-glycosylation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587582/
https://www.ncbi.nlm.nih.gov/pubmed/28878392
http://dx.doi.org/10.1038/s41467-017-00453-3
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